Modern techniques for condition monitoring of railway vehicle dynamics

R. W. Ngigi, C. Pislaru, A. Ball, F. Gu

Research output: Contribution to journalArticle

49 Citations (Scopus)

Abstract

A modern railway system relies on sophisticated monitoring systems for maintenance and renewal activities. Some of the existing conditions monitoring techniques perform fault detection using advanced filtering, system identification and signal analysis methods. These theoretical approaches do not require complex mathematical models of the system and can overcome potential difficulties associated with nonlinearities and parameter variations in the system. Practical applications of condition monitoring tools use sensors which are mounted either on the track or rolling stock. For instance, monitoring wheelset dynamics could be done through the use of track-mounted sensors, while vehicle-based sensors are preferred for monitoring the train infrastructure. This paper attempts to collate and critically appraise the modern techniques used for condition monitoring of railway vehicle dynamics by analysing the advantages and shortcomings of these methods.

LanguageEnglish
Article number012016
JournalJournal of Physics: Conference Series
Volume364
Issue number1
DOIs
Publication statusPublished - 2012

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vehicles
sensors
fault detection
signal analysis
system identification
maintenance
mathematical models
nonlinearity

Cite this

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Modern techniques for condition monitoring of railway vehicle dynamics. / Ngigi, R. W.; Pislaru, C.; Ball, A.; Gu, F.

In: Journal of Physics: Conference Series, Vol. 364, No. 1, 012016, 2012.

Research output: Contribution to journalArticle

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